Spin waves propagating through a stripe magnetic domain structure and their applications to reservoir computing

TL;DR

This paper demonstrates a spin-wave-based reservoir computing system using a magnetic garnet film with stripe domains, achieving high accuracy in XOR and delay tasks, highlighting its potential for edge computing.

Contribution

It introduces a novel spin-wave reservoir computing device with multiple electrodes and stripe domains, showing high computational accuracy and capacity.

Findings

Achieved 100% accuracy in XOR tasks with delay up to 5.

Achieved perfect inference in delay tasks with delay >7.

Maximum memory capacity of 21.

Abstract

Spin waves propagating through a stripe domain structure and reservoir computing with their spin dynamics have been numerically studied with focusing on the relation between physical phenomena and computing capabilities. Our system utilizes a spin-wave-based device that has a continuous magnetic garnet film and 1-input/72-output electrodes on the top. To control spatially-distributed spin dynamics, a stripe magnetic domain structure and amplitude-modulated triangular input waves were used. The spatially-arranged electrodes detected spin vector outputs with various nonlinear characteristics that were leveraged for reservoir computing. By moderately suppressing nonlinear phenomena, our system achieves 100$\%$ prediction accuracy in temporal exclusive-OR (XOR) problems with a delay step up to 5. At the same time, it shows perfect inference in delay tasks with a delay step more than 7 and its memory capacity has a maximum value of 21. This study demonstrated that our spin-wave-based reservoir computing has a high potential for edge-computing applications and also can offer a rich opportunity for further understanding of the underlying nonlinear physics.